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Can I read Comparison of Strain and Shear-wave Ultrasounic Elastography in Predicting the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancers on EtoBox?
Comparison of Strain and Shear-wave Ultrasounic Elastography in Predicting the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancers by Yan Ma; Shuo Zhang; Jing Li; Jianyi Li; Ye Kang; Weidong Ren is a Medicine article available to read on EtoBox.
What is Comparison of Strain and Shear-wave Ultrasounic Elastography in Predicting the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancers about?
## Objective: To compare the diagnostic performances of strain elastography (se) and shear-wave elastography (swe) for predicting response to neoadjuvant chemotherapy (nact) in patients with breast cancer. ## Methods: This prospective study recruited 71 eligible patients from june 2014 to may 2016. all patients provided written informed consent. tumour stiffness was assessed by the se strain ratio (r), swe maximum elasticity (e) and swe mean elasticity (e). ultrasonic elastography (ue) assessments were performed at each nact cycle (t1 - t6). for the purpose of predicting, the relative changes in elastographic parameters after the first and second nact cycles were considered as the variables [δ(t1) and δ(t2)]. the area under the receiver operating characteristics (auc) curve was compared. ## Results: Δe(t2) and r2 displayed the best diagnostic performances within their own modalities (auc = 0.93 and 0.90 for predicting favourable response to nact; auc = 0.92 and 0.78 for predicting nact resistance, respectively). there were no significant differences in aucs for δe(t2) and some ue parameters (p > 0.05). by contrast, δe(t2) was significantly superior to all other se parameters for pr
Who reads Comparison of Strain and Shear-wave Ultrasounic Elastography in Predicting the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancers?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Yan Ma; Shuo Zhang; Jing Li; Jianyi Li; Ye Kang; Weidong Ren
- Publisher
- Springer Science and Business Media LLC
- Published
- 2016
- Language
- EN
- Field
- Medicine (Health Sciences)
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